Cargando…

Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)

Natural metal background levels in sediments are critical to assess spatial and temporal trends of contamination in hydrosystems and to manage polluted sediments. This is even more sensitive that multi-factors such as geogenic basement, depositional context, and past or long-term pollution can affec...

Descripción completa

Detalles Bibliográficos
Autores principales: Dendievel, André-Marie, Mourier, Brice, Dabrin, Aymeric, Barra, Adrien, Bégorre, Céline, Delile, Hugo, Hammada, Myriam, Lardaux, Gary, Berger, Jean-François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522338/
https://www.ncbi.nlm.nih.gov/pubmed/33015254
http://dx.doi.org/10.1016/j.dib.2020.106256
_version_ 1783588158452006912
author Dendievel, André-Marie
Mourier, Brice
Dabrin, Aymeric
Barra, Adrien
Bégorre, Céline
Delile, Hugo
Hammada, Myriam
Lardaux, Gary
Berger, Jean-François
author_facet Dendievel, André-Marie
Mourier, Brice
Dabrin, Aymeric
Barra, Adrien
Bégorre, Céline
Delile, Hugo
Hammada, Myriam
Lardaux, Gary
Berger, Jean-François
author_sort Dendievel, André-Marie
collection PubMed
description Natural metal background levels in sediments are critical to assess spatial and temporal trends of contamination in hydrosystems and to manage polluted sediments. This is even more sensitive that multi-factors such as geogenic basement, depositional context, and past or long-term pollution can affect the level of metals in sediments. This article provides natural metal background levels and ancillary data (location, chronology, grain-size, total organic carbon – TOC) in pre-industrial sediments along the Rhône River (France). Two distinct areas were selected to take into account the geological variability of the watershed: the Dauphiné Lowlands (Upper Rhône River) and the Tricastin Floodplain (Middle Rhône River). On each area, the sediment cores were retrieved from palaeochannel sequences and the sampled sections were dated by radiocarbon from the Roman to the Modern Times (AD 3–1878). Regulatory metals (Al, Fe, Cd, Cr, Cu, Ni, Pb, and Zn) and other trace elements (Ba, Co, Li, Mg, Mn, Na, P, Sr, Ti, V) were analysed following both Aqua Regia (AR) and Total Extraction (TE) procedures. Classically, TE provides metal concentrations greater than AR because TE includes crystalline lattice, while AR is close to the potentially bio-accessible part of metals (used for ecotoxicological purposes). Due to the small number of samples and to the non-normal distribution of the results, a median-based approach was chosen to establish the geochemical background values and ranges (MGB) for each sample and area. These MGBs are valuable to identify pollution sources, to characterise a contamination (spread and timing), and to estimate the state of rivers regarding pollution legacy. Along the Rhône River, these two continental MGBs were used to reconstruct the metal geo-accumulation trajectories in river sediments from 1965 to 2018 [1].
format Online
Article
Text
id pubmed-7522338
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-75223382020-10-02 Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France) Dendievel, André-Marie Mourier, Brice Dabrin, Aymeric Barra, Adrien Bégorre, Céline Delile, Hugo Hammada, Myriam Lardaux, Gary Berger, Jean-François Data Brief Data Article Natural metal background levels in sediments are critical to assess spatial and temporal trends of contamination in hydrosystems and to manage polluted sediments. This is even more sensitive that multi-factors such as geogenic basement, depositional context, and past or long-term pollution can affect the level of metals in sediments. This article provides natural metal background levels and ancillary data (location, chronology, grain-size, total organic carbon – TOC) in pre-industrial sediments along the Rhône River (France). Two distinct areas were selected to take into account the geological variability of the watershed: the Dauphiné Lowlands (Upper Rhône River) and the Tricastin Floodplain (Middle Rhône River). On each area, the sediment cores were retrieved from palaeochannel sequences and the sampled sections were dated by radiocarbon from the Roman to the Modern Times (AD 3–1878). Regulatory metals (Al, Fe, Cd, Cr, Cu, Ni, Pb, and Zn) and other trace elements (Ba, Co, Li, Mg, Mn, Na, P, Sr, Ti, V) were analysed following both Aqua Regia (AR) and Total Extraction (TE) procedures. Classically, TE provides metal concentrations greater than AR because TE includes crystalline lattice, while AR is close to the potentially bio-accessible part of metals (used for ecotoxicological purposes). Due to the small number of samples and to the non-normal distribution of the results, a median-based approach was chosen to establish the geochemical background values and ranges (MGB) for each sample and area. These MGBs are valuable to identify pollution sources, to characterise a contamination (spread and timing), and to estimate the state of rivers regarding pollution legacy. Along the Rhône River, these two continental MGBs were used to reconstruct the metal geo-accumulation trajectories in river sediments from 1965 to 2018 [1]. Elsevier 2020-09-08 /pmc/articles/PMC7522338/ /pubmed/33015254 http://dx.doi.org/10.1016/j.dib.2020.106256 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Dendievel, André-Marie
Mourier, Brice
Dabrin, Aymeric
Barra, Adrien
Bégorre, Céline
Delile, Hugo
Hammada, Myriam
Lardaux, Gary
Berger, Jean-François
Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title_full Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title_fullStr Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title_full_unstemmed Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title_short Dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the Rhône River (France)
title_sort dataset of natural metal background levels inferred from pre-industrial palaeochannel sediment cores along the rhône river (france)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522338/
https://www.ncbi.nlm.nih.gov/pubmed/33015254
http://dx.doi.org/10.1016/j.dib.2020.106256
work_keys_str_mv AT dendievelandremarie datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT mourierbrice datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT dabrinaymeric datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT barraadrien datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT begorreceline datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT delilehugo datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT hammadamyriam datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT lardauxgary datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance
AT bergerjeanfrancois datasetofnaturalmetalbackgroundlevelsinferredfrompreindustrialpalaeochannelsedimentcoresalongtherhoneriverfrance